Adversarial Multi-label Classification on Cho1
91.492-WBB ScoreLR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LRAveraging=averaged, Model Architecture=LR2026.02 | 91.49 | 99.1 | 99.99 | |
| LRAveraging=vanilla, Model Architecture=LR2026.02 | 81.78 | 91.29 | 93.3 | |
| TT-LRb=10, Model Architecture=LR2026.02 | 76.87 | 87.1 | 81.29 | |
| LR-DPepsilon=100, Model Architecture=LR2026.02 | 76.63 | 86.1 | 86.72 | |
| TT-LRb=6, Model Architecture=LR2026.02 | 75.35 | 86.04 | 79.79 | |
| NNModel Architecture=NN2026.02 | 73.75 | 86.08 | 63.36 | |
| LR-DPepsilon=10, Model Architecture=LR2026.02 | 71.63 | 78.4 | 64.03 | |
| TT-LRb=2, Model Architecture=LR2026.02 | 66.66 | 82.31 | 74.61 | |
| TT-NNb=10, Model Architecture=NN2026.02 | 65.44 | 82.15 | 50.25 | |
| TT-NNb=6, Model Architecture=NN2026.02 | 62.52 | 82.67 | 50.18 | |
| NN-DPepsilon=inf, Model Architecture=NN2026.02 | 61.98 | 73.7 | 63.6 | |
| NN-DPepsilon=10, Model Architecture=NN2026.02 | 59.24 | 66.59 | 50.08 | |
| TT-NNb=2, Model Architecture=NN2026.02 | 57.59 | 61.84 | 50.61 | |
| LR-DPepsilon=1, Model Architecture=LR2026.02 | 57.1 | 58.08 | 51.78 | |
| LR-DPepsilon=0.1, Model Architecture=LR2026.02 | 53.14 | 53.52 | 50.88 | |
| NN-DPepsilon=0.2, Model Architecture=NN2026.02 | 52.22 | 61.86 | 51.25 | |
| NN-DPepsilon=1, Model Architecture=NN2026.02 | 50.85 | 64.2 | 50.33 |